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Ron Shprints

@RShprints

MIT '25 CS/Math
ronsh9.github.io Joined June 2022
509 Following 118 Followers 135 Posts

Latest posts 5

Ron Shprints @RShprints
We got 2 big birds with one stone:

1) DeCAF-Pearl makes all-atom cofolding much faster than previously possible and 2) enables inference time search.⚡️

An incredible amount of work was done by a very talented team, and it was a pleasure to participate:)
Joey Bose Verified account @bose_joey Jun 10
Protein–ligand cofolding models are getting incredibly powerful… but do they have to be so slow? 🧬🐢💊

Our new preprint introduces a new flow-map framework called DeCAF for fast few-step cofolding — up to 5× faster while preserving sample quality on the SOTA Pearl model and 20x faster than Boltz 1x. ⚡🧵

📜 Blog: genesis.ml/news/genesis-m…
🔗arXiv: arxiv.org/abs/2606.08375
Code (coming soon): github.com/genesistherape…
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Ron Shprints @RShprints
Recordings have just dropped on YouTube! You should definitely check out this amazing resource if you want to learn about flow matching. Peter is the best of the best and he put so much effort into this. It was a pleasure to contribute my small part:)
Peter Holderrieth Verified account @peholderrieth Mar 18
🚀MIT Flow Matching and Diffusion Lecture 2026 Released (diffusion.csail.mit.edu)!

We just released our new MIT 2026 course on flow matching and diffusion models! We teach the full stack of modern AI image, video, protein generators - theory and practice. We include:
📺 Videos: Step-by-step derivations.
📝 Notes: Mathematically self-contained lecture notes
💻 Coding: Hands-on exercises for every component

We fully improved last years’ iteration and added new topics: latent spaces, diffusion transformers, building language models with discrete diffusion models.

Everything is available here: diffusion.csail.mit.edu

A huge thanks to Tommi Jaakkola for his support in making this class possible and Ashay Athalye (MIT SOUL) for the incredible production! Was fun to do this with @RShprints!

#MachineLearning #GenerativeAI #MIT #DiffusionModels #AI
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Ron Shprints @RShprints
I watched Barca vs. Betis today and this offside call by VAR led to the cancelation of a goal. I'm not familiar with the semi-automatic offside system, but I wonder whether current technology is accurate enough to make such a call. Why are there no uncertainty bars in this pic?